Literature DB >> 33725170

An examination of histomorphometric relationships in the anterior and posterior human femoral cortex.

Ariane Maggio1, Daniel Franklin2.   

Abstract

INTRODUCTION: Static cortical bone histomorphometry utilised in forensic age-at-death estimation generally examines only the anterior femoral mid-shaft, as biomechanical strain at the posterior femur is thought to result in increased bone remodelling, osteon density and adversely affect age-at-death estimates. As osteon density increases there is a corresponding decrease in geometric variables, such as osteon area and Haversian canal diameter. The present study tests whether the inverse relationship between osteon density and osteon geometry is reflected in a modern documented Australian sample, and if this relationship differs between the anterior and posterior femoral mid-shaft.
MATERIALS AND METHODS: The study sample comprises 215 femoral microradiographs (117♂ 98♀) of recorded age (18‒97 years) from the Melbourne Femur Reference Collection (MFRC). The following variables were measured in Image J across six 1 mm2 regions of interest (ROIs) from the anterior and posterior; mean intact and fragmentary secondary osteon count, osteon population density, osteon and Haversian canal area, perimeter, and diameter.
RESULTS: Osteon area was positively correlated with Haversian canal size and shape metrics, and negatively correlated with osteon density. Chronological age was significantly correlated with most variables. There were significant between-group effects between the youngest (18‒34 years) and all other age groups (35‒49, 50-74 and 75 + years) for both regions.
CONCLUSION: Our findings support an increased rate of remodelling associated with decreases in osteon geometry in the anterior and posterior femur. Future studies should examine static osteon histomorphometry using anterior and posterior measurements in larger samples of documented age and sex.

Entities:  

Keywords:  Biomechanics; Femur; Forensic anthropology; Histomorphometry; Osteon

Year:  2021        PMID: 33725170     DOI: 10.1007/s00774-021-01204-7

Source DB:  PubMed          Journal:  J Bone Miner Metab        ISSN: 0914-8779            Impact factor:   2.626


  18 in total

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Authors:  M S Stein; S A Feik; C D Thomas; J G Clement; J D Wark
Journal:  J Bone Miner Res       Date:  1999-04       Impact factor: 6.741

2.  Correlation of bone mineral density with strength and microstructural parameters of cortical bone in vitro.

Authors:  N J Wachter; G D Krischak; M Mentzel; M R Sarkar; T Ebinger; L Kinzl; L Claes; P Augat
Journal:  Bone       Date:  2002-07       Impact factor: 4.398

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Authors:  M F Ericksen
Journal:  Am J Phys Anthropol       Date:  1991-02       Impact factor: 2.868

4.  Interactions between microstructural and geometrical adaptation in human cortical bone.

Authors:  Ani Ural; Deepak Vashishth
Journal:  J Orthop Res       Date:  2006-07       Impact factor: 3.494

5.  Relating osteon diameter to strain.

Authors:  René F M van Oers; Ronald Ruimerman; Bert van Rietbergen; Peter A J Hilbers; Rik Huiskes
Journal:  Bone       Date:  2008-05-28       Impact factor: 4.398

6.  Age at death estimation in adults by computer-assisted histomorphometry of decalcified femur cortex.

Authors:  Laurent Martrille; Théano Irinopoulou; Patrick Bruneval; Eric Baccino; Paul Fornes
Journal:  J Forensic Sci       Date:  2009-10-10       Impact factor: 1.832

7.  Investigating histomorphometric relationships at the human femoral midshaft in a biomechanical context.

Authors:  Justyna J Miszkiewicz
Journal:  J Bone Miner Metab       Date:  2015-03-26       Impact factor: 2.626

8.  Variation in cortical bone histology within the human femur and its impact on estimating age at death.

Authors:  Andrea H W Chan; Christian M Crowder; Tracy L Rogers
Journal:  Am J Phys Anthropol       Date:  2007-01       Impact factor: 2.868

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Authors:  M B Schaffler; D B Burr
Journal:  Am J Phys Anthropol       Date:  1984-10       Impact factor: 2.868

10.  The relation of femoral osteon geometry to age, sex, height and weight.

Authors:  Hayley M Britz; C David L Thomas; John G Clement; David M L Cooper
Journal:  Bone       Date:  2009-03-19       Impact factor: 4.398

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